Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu Trees-Reference-Cited by-同舟云学术

Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu Trees

Published:2014 Issue: Volume: Page:630-645
ISSN:0302-9743
Container-title:Machine Learning and Knowledge Discovery in Databases
language:
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Author:

Rahman Tahrima,Kothalkar Prasanna,Gogate Vibhav

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-44851-9_40

Reference24 articles.

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3. Chavira, M., Darwiche, A.: On probabilistic inference by weighted model counting. Artificial Intelligence 172(6-7), 772–799 (2008)

4. Chechetka, A., Guestrin, C.: Efficient principled learning of thin junction trees. In: Platt, J., Koller, D., Singer, Y., Roweis, S. (eds.) Advances in Neural Information Processing Systems 20. MIT Press, Cambridge (2008)

5. Choi, M.J., Tan, V., Anandkumar, A., Willsky, A.: Learning latent tree graphical models. Journal of Machine Learning Research 12, 1771–1812 (2011)

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